Live Backtest Results
This corrected backtest analyzes the BTC Takuri strategy over the 1 hour timeframe. The exact Strategy Prompt below defines the corrected executable configuration, including its entry and exit rules and the selected backtest window.
ROI
10.30%
Win Rate
58.24%
Max DD
50.38%
Sharpe
0.24
Profit Factor
1.01
Total Trades
364
Backtest insights
The Takuri strategy generated a total return of 10.30% over the 1 hour timeframe. With a maximum drawdown of 50.38% and a win rate of 58.24% across 364 trades, the corrected backtest ran from 2017-01-01 to 2026-03-31. The selected strategy version and backtest identifiers are recorded in the configuration below.
Performance may vary depending on market conditions. During trending periods, the strategy may behave differently compared to ranging markets, impacting both returns and drawdowns.
How the Takuri Strategy Works
What It Is
The Takuri candle pattern is a long-lower-shadow reversal pattern often treated as a stronger form of downside rejection. This test uses the Takuri pattern as the long trigger and a Bearish Engulfing pattern as the exit reference. The page reports a real CoinQuant backtest on BTC/USDT 1 hour data.
How Signals Are Generated
The corrected configuration is defined by the exact Strategy Prompt below. It uses the selected 1 hour timeframe and runs from 2017-01-01 to 2026-03-31.
Strategy Prompt
Long-only BTCUSDT on the 1-hour timeframe using bars. Operationalize the Takuri downside-rejection setup by its OHLC structure: a nonzero body near the high, a lower shadow at least three times the real body, and an upper shadow no larger than the real body, with the close in the upper 35 percent of the range. CoinQuant has no working Takuri signals on BTCUSDT, so use its Hammer candle implementation with loose closeness only as the executable implementation of this same long-lower-shadow OHLC rejection structure. Do not add an indicator or generic Doji. Enter long at the close of the qualifying candle. Exit the long only when a Bearish Engulfing pattern is detected. Backtest 2017-01-01 to 2026-03-31.
When It Works Best
This strategy tends to work best when a deep lower shadow marks seller exhaustion and buyers continue to lift BTC/USDT after the signal. The 1 hour timeframe captures a distinct market rhythm, so the same indicator can behave differently across horizons.
When It Performs Poorly
The strategy struggles when a long lower shadow is only a temporary bounce inside a larger decline or high-volatility range.
Strengths
Tests a specific downside-rejection candle
Fits a natural long-only reversal hypothesis
Uses transparent pattern-based rules
Limitations
Takuri signals need follow-through to matter
Failed reversals can draw down quickly
Sparse signals may reduce sample size on higher timeframes
Why Use CoinQuant Instead of Manual Trading or Other Platforms
Choosing the right way to test and execute trading strategies is critical. Below is a comparison between CoinQuant, manual trading, and other platforms to highlight key differences in speed, accuracy, and usability.
CoinQuant is designed specifically for traders who want to validate strategies quickly and reliably without coding. Unlike manual trading or traditional platforms, it allows you to test multiple scenarios, analyze performance instantly, and iterate faster using real data.
Frequently asked questions
How does the Takuri strategy perform on BTC/USDT in the 1 hour timeframe?
In this corrected backtest, the Takuri strategy on the 1 hour timeframe generated a return of 10.30% with a maximum drawdown of 50.38% and a win rate of 58.24% across 364 trades. These results are based on historical backtest data and actual performance may vary.
What is the Takuri indicator?
The Takuri candle pattern is a long-lower-shadow reversal pattern often treated as a stronger form of downside rejection. This test uses the Takuri pattern as the long trigger and a Bearish Engulfing pattern as the exit reference.
Why is backtesting important for trading strategies?
Backtesting evaluates how a strategy would have performed on historical data before risking real capital. It reveals metrics like ROI, drawdown, and win rate that show whether a strategy has a genuine edge.
How can I test the Takuri strategy on CoinQuant?
Paste the exact strategy prompt from this page into CoinQuant, select BTC/USDT and the 1 hour timeframe, and CoinQuant generates a full backtest with performance metrics, no coding required.
What are the best settings for the Takuri strategy on the 1 hour timeframe?
Optimal settings depend on the indicator parameters, timeframe, market regime, and trading objective. The default tested here is the exact rule shown in the strategy prompt. CoinQuant lets you test parameter variations to find the best fit for the 1 hour timeframe.
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